@misc{eprints58385,
           title = {PREDIKSI PERMEABILITAS MENGGUNAKAN METODE
LOG DAN PORE GEOMETRY STRUCTURE (PGS) PADA
SUMUR AY-7 DAERAH CEKUNGAN JAWA BARAT UTARA},
          author = {1515051006 Ayu Yuliani},
         address = {UNIVERSITAS LAMPUNG},
       publisher = {FAKULTAS TEKNIK},
            year = {2019},
             url = {http://digilib.unila.ac.id/58385/},
        abstract = {Permeabilitas merupakan kemampuan suatu batuan agar dapat melewatkan fluida.
Pada penelitian ini, perhitungan permeabilitas dilakukan dengan menggunakan
metode log dan PGS (Pore Geometry Structure) berdasarkan data core, log, dan
CT Scan. Kemudian membandingkan hasil prediksi permeabilitas terhadap data
permeabilitas dari batuan inti (core) pada Sumur AY-7. Pada metode log,
perhitungan permeabilitas dilakukan dengan analisis petrofisika yang bertujuan
untuk mengevaluasi formasi zona target penelitian berupa perhitungan sebaran
kandungan serpih (volume shale), porositas efektif, saturasi air, dan permeabilitas.
Selanjutnya, determinasi nilai porositas dari CT Scan. Dilakukan pada 2 data core
sebanyak 20 tube, setiap tube diplot sebanyak 15 titik. Output dari tahap ini adalah
nilai Porositas CT yang akan digunakan untuk sebaran prediksi nilai permeabilitas
PGS. Pada metode PGS, dilakukan rock typing berdasarkan deskripsi geologi,
kemudian perhitungan prediksi permeabilitas. Menggunakan dua metode tersebut,
dapat dilakukan perhitungan permeabilitas pada Sumur AY-7. Hasil perhitungan
permeabilitas log dan PGS yang menunjukkan korelasi yang baik adalah hasil
perhitungan Permeabilitas PGS. Terlihat dari data hasil perhitungan permeabilitas
PGS mendekati gradien bernilai satu dengan R
2
sebesar 0.906, maka akan semakin
mendekati nilai permeabilitas batuan inti. Sedangkan hasil perhitungan
permeabilitas log terhadap permeabilitas batuan inti adalah sebesar 0.845.
Kata Kunci: Prediksi Permeabilitas, Log, Pore Geometry Structure

(PGS), CT Scan
One of the most important reservoir rock properties is permeability. Permeability
is the nature of a reservoir rock to be able to pass fluid. In this study, permeability
calculations were carried out using log and PGS ( Pore Geometry
Structure ) methods based on core data, logs, and CT-Scans. Then compare the
results of the predicted permeability to the permeability data from the core rock
(core) on the AY-7 well. In the log method, permeability is calculated by
conducting a petrophysical analysis which aims to evaluate the formation in the
form of calculation of the distribution of shale content in the research target zone,
effective porosity, water saturation, and perm eability of logs. Next, the
determination of porosity values from CT Scan. Performed on 2 data cores of
20 tubes, each tube was plotted as many as 15 points. The output of this stage is
the Porosity\_CT value that will be used for the distribution of predictions
for PGS permitted values. In the PGS method, there are two stages that are carried
out, namely rock typing based on geological descriptions, then predicting

permeability. Using these two methods, permeability can be calculated on the AY-
7 Well. The results of log and PGS permeability calculations that show good

correlation are the results of calculation of PGS permeability. It can be seen from
the data from the calculation of PGS permeability approaching the gradient one
value with R
2
of 0.906, it will get closer to the core rock permeability value. While
the results of the calculation of the permeability of the log to the core rock
permeability is 0.845.

Keywords: Permeability Prediction, Log , CT-Scan, Pore Geometry

Structure (PGS),}
}